– Using panel data to control for some types of unobserved confounding information

– ITT, natural experiments, and instrumental variables

– If we have time, using machine learning models for causal inference.

All work will be done in R, using the new rstanarm package.

Lunch, coffee, snacks and materials will be provided. Attendees should bring a laptop with R, RStudio and rstanarm already installed. A limited number of scholarships are available. The course is in no way affiliated with Columbia.